利用位操作为图形顶点着色的并行算法

Neelam Bhalla
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引用次数: 0

摘要

在过去的二十年里,数学家们把给图顶点上色的问题纯粹当作一种学术兴趣来研究。近年来,许多计算机资源分配问题被建模为图形着色问题,引起了计算机科学家的关注。由于已知给图顶点上色的问题是np完全的,因此经常必须求助于接近最优的解决方案。在本文中,我们提出了一种有效的方案,该方案使用对位向量的逻辑运算将图的顶点划分为k个颜色类。提出了基于最大和最小顶点剩余度的算法。这些是使用基于最小/最大原理的启发式扩展的。该算法具有固有的并行性,并在松耦合并行计算机上实现。使用位操作,需要几秒钟才能获得具有200个顶点的彩色图形的接近最佳解决方案。我们还观察到,所提出的四种算法中有一种给出了最优解。并行算法具有线性加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel Algorithms for Colouring Vertices of Graph Using Bit Manipulation
Mathematicians for the past two decades have addressed the problem of colouring graph vertices purely as an academic interest. Recently, it has drawn the attention of computer scientists as many resource allocation problems in computers are being modelled as graph colouring problem. Since, the problem of colouring graph vertices is known to be NP-complete, frequently, one has to resort to near-optimal solution. In this paper, we present an efficient scheme that partitions the vertices of a graph into k colour classes using logical operations on bit vectors. The algorithms based on largest and smallest vertex remaining degree are presented. These are extended using heuristics based on Min/Max principal. The algorithms have inherent parallelism and are implemented on loosely coupled parallel computer. Using bit manipulation, it takes a few seconds to obtain near-optimal solution to colour graphs with 200 vertices. It is also observed that one of the four algorithms presented gives optimal solution. The parallel algorithms have linear speedup.
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